中文摘要：

为了提高无线传感器网络的定位精度,从提高测量精度、改善信标节点分布的角度提出了一种基于RSSI测距的三角形面积和定位算法。该算法利用高斯模型对非敏感区的RSSI数据进行处理,筛选出RSSI较优值,解决了RSSI易受干扰的问题。研究表明,通过高斯模型筛选出的RSSI值可以较好的预测环境参数;三角形面积和算法可以动态调整环境参数,使未知节点和信标节点达到合理距离,该算法计算简单,无需硬件扩展。

英文摘要：

In order to get high precision of localization in WSN （wireless sensor network）, an area summation of triangle localization algorithm based on RSSI ranging technique is brought up, taking account mainly of the measurement precision and improvement of the distribution of beacon nodes. This algorithm uses Gauss model to deal with the RSSI which is got in sensitive region and the first-class RSSI is screened out. The problem that RSSI is easy to be interfered is resolved, A conclusion is drawn that Gauss model can predict environment parameters and the algorithm may adjust environment parameters dynamically and distance between beacon nodes and unknown nodes to achieve adequate. This algorithm is easy to implement and no extended hardware are required.